This inventor holds 1 USPTO granted patent. Top assignee: National University of Singapore. Active years: 2003.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2003
Title: Yeh Ching Andrew Nee: Innovator in Optical Stereolithography
Introduction
Yeh Ching Andrew Nee is a notable inventor based in Singapore, recognized for his contributions to the field of optical stereolithography. His innovative approach has led to advancements in rapid prototyping technologies, making significant impacts in various industries.
Latest Patents
One of his key patents is titled "Method for determining resin curing areas in an optical stereolithography process." This patent outlines a method for determining the areas of resin to be cured in an optical stereolithography process. The process involves generating a computer model of the desired shape and dividing it into layers of a specific thickness. The method ensures that the areas in the intermediate layer of resin, which may be oversized due to laser curing, are accurately determined and compensated for in the 2-D layer data used to build a 3-D model.
Career Highlights
Yeh Ching Andrew Nee is affiliated with the National University of Singapore, where he has been instrumental in research and development in the field of stereolithography. His work has contributed to enhancing the efficiency and accuracy of rapid prototyping techniques.
Collaborations
He has collaborated with notable colleagues, including Ying His Jerry Fuh and En Tang Kang, who have also contributed to advancements in related fields.
Conclusion
Yeh Ching Andrew Nee's innovative methods in optical stereolithography exemplify the importance of research and development in modern technology. His contributions continue to influence the landscape of rapid prototyping and resin curing processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
